The quality of Amazon Q’s responses depends heavily on how you write your prompts. Here are proven techniques for better results.

Prompt Structure

  • Context: Describe what you’re building
  • Task: Specify what you want
  • Requirements: Add constraints or preferences

Good vs Bad Prompts

// ❌ Bad prompt:
"Create a function"

// ✅ Good prompt:
"Create a TypeScript function that validates email addresses 
using regex, returns boolean, and handles edge cases like 
empty strings and null values"

Effective Prompt Examples

// For React components:
"Create a React component for user profile card with 
avatar, name, email, and edit button. Use TypeScript 
and Tailwind CSS for styling."

// For API functions:
"Write an async function to fetch user data from REST API, 
handle errors with try-catch, and return typed response 
using fetch API."

Specific, detailed prompts yield much better code suggestions.